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Paper Citation Record · LEDGER

GPT Store Mining and Analysis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.10210.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.10210 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:42.900068Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T16:25:22.024266Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation de40687f-37e7-4e1d-91f2-504f0ef50e1c · inbound

Understanding the Supply Chain and Risks of Large Language Model Applications cites this paper.

Understanding the Supply Chain and Risks of Large Language Model Applications GPT Store Mining and Analysis

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:42.900068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:42.900068Z digest=sha256:8cc3906d5f8e202f3af9f5cbf4ab4e48b9374cfa561abe5dbf61ac88f312eb8c

Observation 73b40379-2ddd-4551-8bd7-59dd6a8b337d · inbound

LaQual: An Automated Framework for LLM App Quality Evaluation cites this paper.

LaQual: An Automated Framework for LLM App Quality Evaluation GPT Store Mining and Analysis

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:25:22.063745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T16:25:19.982753Z digest=sha256:b166281bf756dba1a03d0bd14822198867c501625587aa429317d5f1ba9cb414